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Clinical decision support systems for multidisciplinary team decision-making in patients with solid cancer: Composition of an implementation model based on a scoping review.
Hendriks, Mathijs P; Jager, Agnes; Ebben, Kees C W J; van Til, Janine A; Siesling, Sabine.
Afiliação
  • Hendriks MP; Department of Health Technology and Services Research, Technical Medical Center, University of Twente, PO Box 217, 7500 AE Enschede, the Netherlands; Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), PO Box 19079, 3501 DB Utrecht, the Netherlands; Departme
  • Jager A; Department of Medical Oncology, Erasmus MC Cancer Institute, PO Box 2040, 3000 CA Rotterdam, the Netherlands. Electronic address: a.jager@erasmusmc.nl.
  • Ebben KCWJ; Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), PO Box 19079, 3501 DB Utrecht, the Netherlands. Electronic address: k.ebben@iknl.nl.
  • van Til JA; Department of Health Technology and Services Research, Technical Medical Center, University of Twente, PO Box 217, 7500 AE Enschede, the Netherlands. Electronic address: j.a.vantil@utwente.nl.
  • Siesling S; Department of Health Technology and Services Research, Technical Medical Center, University of Twente, PO Box 217, 7500 AE Enschede, the Netherlands; Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), PO Box 19079, 3501 DB Utrecht, the Netherlands. Electron
Crit Rev Oncol Hematol ; 195: 104267, 2024 Mar.
Article em En | MEDLINE | ID: mdl-38311011
ABSTRACT
Generating guideline-based recommendations during multidisciplinary team (MDT) meetings in solid cancers is getting more complex due to increasing amount of information needed to follow the guidelines. Usage of clinical decision support systems (CDSSs) can simplify and optimize decision-making. However, CDSS implementation is lagging behind. Therefore, we aim to compose a CDSS implementation model. By performing a scoping review of the currently reported CDSSs for MDT decision-making we determined 102 barriers and 86 facilitators for CDSS implementation out of 44 papers describing 20 different CDSSs. The most frequently reported barriers and facilitators for CDSS implementation supporting MDT decision-making concerned CDSS maintenance (e.g. incorporating guideline updates), validity of recommendations and interoperability with electronic health records. Based on the identified barriers and facilitators, we composed a CDSS implementation model describing clinical utility, analytic validity and clinical validity to guide CDSS integration more successfully in the clinical workflow to support MDTs in the future.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Neoplasias Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Crit Rev Oncol Hematol Assunto da revista: HEMATOLOGIA / NEOPLASIAS Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Neoplasias Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Revista: Crit Rev Oncol Hematol Assunto da revista: HEMATOLOGIA / NEOPLASIAS Ano de publicação: 2024 Tipo de documento: Article